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Xiaomeng Jin

PhD Student in Atmospheric Chemistry

Lamont-Doherty Earth Observatory

Columbia University

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About Me

I'm a Ph.D. student working on atmospheric chemistry in Department of Earth and Environmental Sciences at Columbia University. My advisor is Dr. Arlene Fiore. My research uses satellite observations and models (global GEOS-Chem and regional CMAQ) to analyze urban surface ozone and particulate matter pollution, and their sensitivities to precursor emissions.

Education

Columbia University

Sept 2015 - May 2020 (Expected)

Doctor of Philosophy in Earth and Environmental Sciences

Field of study: Atmospheric Chemistry

Advisor: Arlene Fiore, Lamont-Doherty Earth Observatory

University of Wisconsin-Madison

Sept 2013 - May 2015

Master of Science in Environment and Resources & Energy Analysis and Policy

Advisor: Tracey Holloway, Center for Sustainability and the Global Environment (SAGE)

Wuhan University

Sept 2009 - May 2013

Bachelor of Engineering in Remote Sensing Science and Technology

Thesis Advisor: Man-Sing Wong, Hong Kong Polytechnic University

Publications

Jin, X., A. M. Fiore, L. T. Murray, L. C. Valin, L. N. Lamsal, B. N. Duncan, K. F. Boersma, I. De Smedt, G. Gonzalez Abad, K. Chance, G. S. Tonnesen (2017). Evaluating a space-based indicator of surface ozone-NOx-VOC sensitivity over mid-latitude source regions and application to decadal trends, Journal of Geophysical Research: Atmospheres, 122, 10439 – 10461, doi: 10.1002/2017JD026720 (reported by NASA Earth Science, NASA Earth Observatory, LDEO news etc.)

Jin, X., T. A. Holloway (2015). Spatial and temporal variability of ozone sensitivity over China observed from the Ozone Monitoring Instrument. Journal of Geophysical Research Atmospheres, 120(14), 7229–7246, doi: 10.1002/2015JD023250 .

Wong, M. S., X. Jin, Z. Liu, J. Nichol, S. Ye, P. Jiang, P.W. Chan (2015). Geostationary satellite observation of precipitable water vapor using an empirical orthogonal function (EOF) based reconstruction technique over Eastern China. Remote Sensing, 7, 5879-5900, doi: 10.3390/rs70505879 .

Wong, M. S., X. Jin, Z. Liu, J. Nichol, P.W. Chan (2014). Multi-sensors study of precipitable water vapour over mainland China. Int. J. Climatol., 35(10), 3146–3159, doi: 10.1002/joc.4199 .

Presentations

Oral Presentations

Jin, X., A. Fiore. Using satellite data to guide emission control strategies for surface ozone pollution, AGU Fall 2017 Meeting, December 2017, New Orleans, LA, USA. (Invited)

Jin, X., A. Fiore. Combining satellite data and CMAQ model to map PM2.5 exposure over the Northeast USA, NASA HAQAST3 Meeting, November 2017, Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.

Jin, X., A. Fiore, L. Murray, L. Valin. Evaluating a space-based indicator of surface ozone sensitivity to emissions of NOx vs. NMVOC and applications to decadal trends, 8th GEOS-Chem Meeting, May 2017, Harvard University, Cambridge, MA, USA.

Jin, X., A. Fiore, L. Murray, L. Valin. Evaluating a space-based indicator of surface ozone sensitivity to emissions of NOx vs. NMVOC over major northern mid-latitude source regions, AGU Fall 2016 Meeting, December 2016, San Fransisco, CA, USA. (Outstanding Student Paper Award Winner)

Jin, X., A. Fiore. Analyzing surface ozone sensitivity to NOx and VOC emissions: the view from space, Photochemical modeling coordination telecon of Maryland Department of the Environment, June, 2016.

Xiaomeng Jin, Decadal trend of Ozone-NOx-VOC sensitivity over China: the view from space, Chinese Environmental Scholars Forum, June 4-5, 2016, Princeton University, Princeton, NJ, USA.

Xiaomeng Jin, Space-based indicators for surface ozone production, First-year Graduate Colloquium, April 27, 2016, Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.

Xiaomeng Jin, Impacts of rising anthropogenic emission on surface ozone pollution in China: the view from the space, December 2014, Brown Bag Series Presentation, UW-Madison, Madison, WI, USA.

Poster Presentations

Jin, X., A. M Fiore, G. Curci, A. Lyapustin, Y. Wang, K. Civerolo, M. Ku, A. van Donkelaar, R. Martin. Mapping PM2.5 exposure over Northeast USA with model, satellite and in-situ data, AGU Fall 2017 Meeting, December 2017, New Orleans, LA, USA.

Jin, X., A. Fiore, L. Murray, L. Valin, Diagnosing surface ozone sensitivity to precursor emissions: the view from space, NASA HAQAST3 Meeting, November 2017, Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.

Jin, X., A. M Fiore, G. Curci, K. Civerolo, M. Ku, Estimating PM2.5 exposure across Northeast US from satellite observations, NYC Metro Area Energy & Air Quality Data Gaps Workshop, May 24-25, 2017, Lamont-Doherty Earth Observatory, Palisades, NY, USA.

Jin, X., A. Fiore, L. Murray, L. Valin, Decadal trend of ozone-NOx-VOC sensitivity over New York State: the view from space, NYC Metro Area Energy & Air Quality Data Gaps Workshop, May 24-25, 2017, Lamont-Doherty Earth Observatory, Palisades, NY, USA.

Jin, X., A. Fiore, L. Murray, L. Valin, Evaluating a space-based indicator for surface ozone production, NASA Air Quality Applied Science Team 10th Semiannual Meeting, January 5-7, 2016, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA. [Poster]

Jin, X., T. Holloway, M. Lin, Evaluation of gas-phase chemistry of a global chemistry-climate model using satellite data, HTAP2 global and regional model evaluation workshop, May 11-13, 2015, Boulder, CO, USA. [Poster]

Ongoing Research Projects

Space-based indicator of surface ozone sensitivity to precursor emissions

We evaluate uncertainties associated with OMI observed HCHO/NO2 as an indicator of ozone sensitivity. Due to ongoing NOx emission reductions, OMI observation shows increasing NOx sensitivity over the U.S.A, Europe, Japan, Korea and three megacities in China.

View Project

Deriving PM2.5 from satellite observations of AOD using over Northeast USA

We use a global chemical transport model (GEOS-Chem) and a regional air quality model (CMAQ) to evaluate the uncertainties associated with the satellite-derived trend of PM2.5. We combine multiple datasets (model, ground-based measurements and satellite data) to analyze decadal trend of PM2.5 over New York State.

View Project

Skills

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